Affiliation:
1. School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
2. School of Economics, Hebei GEO University, Shijiazhuang 050031, P. R. China
Abstract
Inspired by the conformity phenomenon in human society, we develop a mixed neighbor selecting model adopting random-conformity rule to explore the evolutionary weak prisoner’s dilemma game. The neighbor selection rule of nodes is adjusted based on their fitness and collective influence. Under the degree-normalized payoff framework, the findings derived from Monte Carlo simulations reveal that this mixed selecting model can contribute to an impressive improvement in the Barabási-Albert network’s cooperation. In addition, experimental data obtained by investigating the game-learning skeleton indicate that, in this mixed random-conformity selecting model, normalized collective influence at moderate depth length enables influential nodes to maintain a cooperative strategy for an extended period of time. This can promote the emergence of cooperative strategies at low-degree nodes by facilitating the formation of stable cooperation-clusters centered on high-degree nodes. In addition, the normalized collective influence at excessive depth length increases the likelihood that influential nodes become defectors, thereby inhibiting the growth of cooperation-clusters and limiting cooperation.
Funder
Science and Technology Project of Hebei Education Department
Fundamental Research Funds for the Hebei Universities
Hebei Province Innovation Capability Improvement Plan Project
Hebei Province Social Science Development Research Project
Humanities and Social Science Research Project of Hebei Province Colleges and Universities
National Pre-research Funds of Hebei GEO University in 2023
Open Project Program of Natural Resource Asset Capital Research Center, Hebei GEO University, China
Publisher
World Scientific Pub Co Pte Ltd
Subject
Control and Systems Engineering